Building the Enterprise Knowledge Graph
By Jocelyn Hoppa
July 8, 2020 11 mins read
Learn how to build and implement an enterprise knowledge graph from the groun up using the Google Drive API and Neo4j Python.
Explore: artificial intelligence • cypher • enterprise data • Knowledge Graph • knowledge management technology • machine learning • python
Missed Connections: A Tale of a Porsche, Paul Newman and a Relational Database
By Jocelyn Hoppa
June 25, 2020 6 mins read
Discover the benefits of a graph database via a story about auctioning off the Porsche 935 Paul Newman co-drove to a second place in the 1979 LeMans race.
Explore: Big Data • data analytics • data science • fraud • graph database • machine learning • Paul Newman • relational database • social media • sql
Your World Seen Through Your Eyes with Neo4j Bloom
By Corin Gainey
June 17, 2020 25 mins read
Andreas Kolleger discusses Neo4j Bloom and the possibilities it opens up for enterprise organizations across their departments.
Explore: artificial intelligence • Big Data • Connected Data • data model • Data Visualization • graphconnect • Knowledge Graph • machine learning • neo4j • rdbms
Neo4j Online Developer Expo & Summit Is Back!
By Jocelyn Hoppa
May 20, 2020 2 mins read
NODES 2020 is a free, multi-track, one-day virtual conference loaded with highly technical presentations delivered by Neo4j experts on graph-related topics. October 20, 2020 8:00 – 17:00 EDT | 12:00-21:00 GMT Last year was a hit! With five tracks, over… Read more →
Explore: ai • call for papers • cypher • machine learning • neo4j • Neo4j Certified Professionals • Neo4j Community • Neo4j online developer expo summit • nodes 2020 • Recommendation Engine
Augmented Intelligence: 5-Minute Interview with Demian Bellumio, NEORIS
By David Penick
May 15, 2020 2 mins read
Check out this week’s 5-minute interview with Demian Bullemio of NEORIS about his experience with graphs and favorite use cases.
Explore: 5-minute interview • AI / Machine Learning • blog • cypher • graph data science • Knowledge Graph • machine learning • Music • property graph • semantic graph
Graph-Powered Recommendations: How Smart Recommendations Drive Value
By David Penick
May 11, 2020 2 mins read
Read blog one in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.
Explore: artificial intelligence • ecommerce • graph-based technologies • machine learning • personalized experience • Recommendation Engines • Recommendations • relational
Practical Applications of Neo4j 4.0
By Jocelyn Hoppa
May 7, 2020 12 mins read
Learn about practical applications in the newly released Neo4j 4.0, with our partner GraphAware using specific examples to showcase the benefits.
Explore: granular security • graph algorithms • graph database • GraphAware • GraphTour • Knowledge Graph • machine learning • multi-database • Neo4j 4.0 • Scalability
How Previa Is Reimagining Healthcare
By Corin Gainey
April 29, 2020 21 mins read
Editor’s Note: This presentation was given by Alessandro Svensson and Sarah Johnnesson at GraphConnect New York in September 2018. Presentation Summary Alessandro Svensson is the Head of Neo4j Innovation Labs within the U.S. He and Sarah Johnnesson of Previa discuss… Read more →
Explore: ai • artificial intelligence • Big Data • Connected Data • cypher • data model • Data Visualization • graphconnect • machine learning • neo4j
Financial Fraud Detection with Graph Data Science: Identifying First-Party Fraud
By David Penick
April 27, 2020 2 mins read
Read blog three on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.
Explore: AI / Machine Learning • blog • cypher • data lakes • data science • Financial Fraud Detection • Fraud Rings • Graph Algorithm • graph database • graph technology
Announcing Neo4j for Graph Data Science
By Jocelyn Hoppa
April 8, 2020 7 mins read
Discover the benefits of the Neo4j for Graph Data Science, the first data science environment built to harness the predictive power of relationships.
Explore: ai • Analytics • artificial intelligence • Bloom • data scientists • graph algorithms • Graph Analytics • graph data science • graph database • graph visualization
Machine Learning Algorithms
By Corin Gainey
March 18, 2020 11 mins read
Lauren Shin, Neo4j Developer Relations Intern, introduces machine learning and offers three approaches to better analyze ML data.
Explore: artificial intelligence • Connected Data • data model • Data Visualization • Graph Analytics • graph database • graph visualization • graphconnect • machine learning • neo4j
GraphConnect 2020 Agenda: Everything You Need to Know
By Rachel Howard
March 6, 2020 < 1 min read
The health and safety of our community, partners and employees are of the utmost importance to Neo4j. After monitoring the COVID-19 situation closely, we have decided to postpone GraphConnect 2020 in New York City to 2021. We are actively scoping… Read more →
Explore: artificial intelligence • biotech • data discovery • Data Visualization • digital transformation • graph technology • graphconnect • Healthcare • Knowledge Graph • machine learning
The Graphie Awards: What They Are & How to Win One at GraphConnect 2020
By Bryce Merkl Sasaki
March 3, 2020 2 mins read
Learn how your Neo4j-powered project or application could be up for recognition with a Graphie Award at the GraphConnect 2018 conference in New York City.
Explore: Connected Data • data journalism • graph database • graph technology • graphconnect • Graphie Awards • Graphies • machine learning • neo4j • Neo4j Community
Relationships Mean Retention: The 5-Minute Interview with Realogy’s Neerav Vyas
By David Penick
February 28, 2020 4 mins read
In this week’s five-minute interview with Neerav Vyas (conducted at GraphTour NYC 2019), we discuss how Realogy Holdings uses graph technology.
Explore: 5-minute interview • ai • blog • cypher • Databricks • graph database • machine learning • spark
Ontologies in Neo4j: Semantics and Knowledge Graphs
By Corin Gainey
February 19, 2020 12 mins read
Jesús Barrasa presents the two biggest uses of ontologies in graphs using Neo4j and NeoSemantics; inferences and interoperability.
Explore: artificial intelligence • Big Data • Connected Data • graph technology • Knowledge Graph • machine learning • neo4j • ontologies • ontology
Neo4j 4.0 Security Rocks: The 5-Minute Interview with Michal Bachman, CEO, GraphAware
By David Penick
February 14, 2020 4 mins read
In this week’s five-minute interview with Michal (conducted at GraphTour NYC 2019), we discuss how his company, GraphAware, uses graph technology.
Explore: 5-minute interview • ai • data model • graph algorithms • graph database • GraphAware • java • Knowledge Graph • machine learning • Neo4j Community
Connecting Healthcare
By Allison Wu
January 28, 2020 20 mins read
Learn about connecting healthcare data, including its challenges and how graph databases might be able to help solve healthcare’s wicked problems.
Explore: artificial intelligence • Connected Data • data silos • data variability • Graph Databases • graphconnect • Healthcare • integration • machine learning • Relational Databases
Neo4j Staff Predictions for 2020
By Jocelyn Hoppa
January 8, 2020 7 mins read
A new year (let alone a new decade) is always a great time to reflect on the year gone past but also where we’re headed. We leaned on some of our most forward-thinking Neo4j colleagues – Amy Hodler, Michael Hunger… Read more →
Explore: ai • data science • data supply chain • GQL • graph algorithms • Graph Analytics • graph feature engineering • graph technology • machine learning • ML
The Top 7 Neo4j Videos of 2019
By Jessica Baumgardner
December 27, 2019 3 mins read
In lieu of our bi-weekly #GraphCast, we thought we would share some of the best Neo4j videos from 2019. Consider this an almost-New Year’s Eve celebration of all things video. (No order or favorites here. Just cool videos in a… Read more →
Explore: ai • artificial intelligence • data discovery • emil eifrem • GraphCast • Knowledge Graph • Lyft • machine learning • nasa • nodes
The Top 5 Neo4j Podcasts of 2019
By Bryce Merkl Sasaki
December 24, 2019 3 mins read
Catch up with all of the best episodes from the Neo4j Graphistania podcast during 2019, including episodes with the rebooted format and new co-host.
Explore: ai • data journalism • data science • graph algorithms • graph technology • Graphistania • information theory • machine learning • Neo4j Community • podcast
Graphs on GPUs: 5-Minute Interview with Saul Rosales
By David Penick
December 6, 2019 3 mins read
In this week’s five-minute interview (conducted at GraphTour DC 2019), we discuss how Saul Rosales and his team use Neo4j with Graphistry.
Explore: 5-minute interview • artificial intelligence • cybersecurity • data lakes • GPUs • graph database • graph technology • Graphistry • machine learning • Saul Rosales
Responsible AI: The Critical Need for Context (and Practical Tips)
By Jocelyn Hoppa
November 26, 2019 9 mins read
Read the second and final installment of this blog series on responisble AI, why context is critical to achieving responsible AI, and get practical tips.
Explore: ai and context • community detection • data lineage • data manipulation • fraud • graph algorithms • Graph Data • Graph Theory • healthcare data • machine learning
A Conversation with Graphs
By Corin Gainey
November 20, 2019 19 mins read
Editor’s Note: This presentation was given by Tatiana Hartinger at GraphConnect New York in September 2018. Presentation Summary Tatiana Hartinger is a mathematician and a Cognitive Solutions Consultant specializing in graph theory from Cognitiva. Cognitiva is using graphs to enhance… Read more →
Explore: ai • Connected Data • cypher • graph algorithms • Graph Databases • Graph Theory • graphconnect • json • machine learning • neo4j
Reveal Hidden Patterns In Healthcare Data: Graph Analytics and the Opioid Crisis
By Jocelyn Hoppa
November 19, 2019 9 mins read
Read this blog series to discover leading-edge graph analytic techniques to derive intelligence from complex healthcare data.
Explore: business intelligence • data scientists • graph algorithms • Graph Analytics • healthcare data • machine learning • neo4j • Neo4j Bloom • opioid crisis
Real Examples of Why We Need Context for Responsible AI
By Jocelyn Hoppa
November 12, 2019 9 mins read
Read part one of this two-part series on responsible AI. Discover real-world examples of the myths,., biases and more that currently surround AI.
Explore: ai myths • AI standards • artificial intelligence • biased ai • data scientists • inappropriate ai • machine learning • national institute for standards and tools • neo4j • NIST